Salesforce Agentforce AI Engineer (Banking/Lending)
Overview
Remote
On-site
Compensation
$60-$65/hour
Job Description
Job ID: 111767-1 Job Title: Salesforce Agentforce AI Engineer (Banking/Lending) Location: McLean, VA - 100% onsite FROM DAY 1 Duration: 6 months (Extendable) Pay Rate: $50-$65/hr on W2Role Descriptions: Inclusive and diverse work environmentOpportunities for professional growth and developmentComprehensive health and wellness benefits
- Understand lending workflows: Partner with lending operations and Business Analysts to identify manual activities| map exceptions| and translate requirements into implementable AI solutions.
- Prototype and validate: Build working prototypes| demonstrate solutions to business users| incorporate feedback| and establish measurable acceptance criteria.
- Develop Agentforce solutions: Configure agent instructions| actions| prompts| and workflows; develop supporting components using Apex| Lightning Web Components| and Salesforce Flow.
- Integrate enterprise systems: Connect agents with lending platforms| document repositories| core banking systems| and external services through MuleSoft and APIs.
- Enable reliable AI execution: Ground responses in approved enterprise data| validate agent outputs| and implement error handling| human handoffs| and approval checkpoints.
- Deliver secure solutions: Implement access controls| protection of sensitive member information| and audit trails in partnership with architecture and security teams.
- Test and improve: Work with QA to evaluate response accuracy| action correctness| exception scenarios| prompt injection| integration failures| and performance.
- Own engineering delivery: Drive development| defect resolution| deployment| and post-launch stabilization.
- Prepare technical evidence for architecture| security| testing| and release tollgates| coordinating approvals with designated owners.
- Measure and scale: Monitor agent performance| processing time| manual effort| adoption| and operating cost.
- Create reusable components| documentation| and support runbooks
- Required qualifications
- 5+ years of software engineering experience| including strong Salesforce development experience.
- Hands-on implementation experience with Salesforce Agentforce| Prompt Builder| Apex| LWC| Flow| and REST APIs.
- Practical understanding of generative AI| prompt engineering| retrieval-augmented generation| tool calling| and agent evaluation.
- Experience delivering production integrations and troubleshooting issues across connected systems.
- Familiarity with consumer lending processes| such as application intake| document collection| verification| servicing| and exception management.
- Experience with Git| automated testing| CI/CD| and Salesforce deployment practices.
- Strong communication and problem-solving skills| with the ability to work directly with business users and deliver with limited oversight.
- Preferred qualifications
- Experience with Salesforce Financial Services Cloud| Data Cloud/Data 360| MuleSoft| and AutoRABIT.
- Previous delivery experience in banking or credit unions.Salesforce Agentforce Specialist or Platform Developer certification.Demonstrated experience taking an enterprise AI solution from prototype to production
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FAQs About Salesforce Agentforce AI Engineer (Banking/Lending) Jobs at Artech LLC
What is the work location for this position at Artech LLC?
This job at Artech LLC is located in McLean, VA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Artech LLC?
Candidates can expect a pay range of $60–$65 per hour for this role.
What employment applies to this position at Artech LLC?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at Artech LLC?
You can apply for this role at Artech LLC either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.